Incremental embedding for temporal networks. - Tomasz Kajdanowicz; Kamil Tagowski; Maciej Falkiewicz; Piotr Bielak; Przemyslaw Kazienko; Nitesh V. Chawla (CoRR, 2019)

Embedding Alignment Methods in Dynamic Networks. - Kamil Tagowski; Piotr Bielak; Tomasz Kajdanowicz (ICCS (1), 2021)

On Graph Neural Network Ensembles for Large-Scale Molecular Property Prediction. - Edward Elson Kosasih; Joaquín Cabezas; Xavier Sumba; Piotr Bielak; Kamil Tagowski; Kelvin Idanwekhai; Benedict Aaron Tjandra; Arian Rokkum Jamasb (CoRR, 2021)

Retrofitting Structural Graph Embeddings with Node Attribute Information. - Piotr Bielak; Daria Puchalska; Tomasz Kajdanowicz (ICCS (1), 2022)

AttrE2vec: Unsupervised attributed edge representation learning. - Piotr Bielak; Tomasz Kajdanowicz; Nitesh V. Chawla (Inf. Sci., 2022)

Graph Barlow Twins: A self-supervised representation learning framework for graphs. - Piotr Bielak; Tomasz Kajdanowicz; Nitesh V. Chawla (Knowl. Based Syst., 2022)

FILDNE: A Framework for Incremental Learning of Dynamic Networks Embeddings. - Piotr Bielak; Kamil Tagowski; Maciej Falkiewicz; Tomasz Kajdanowicz; Nitesh V. Chawla (Knowl. Based Syst., 2022)

Graph-Level Representations Using Ensemble-Based Readout Functions. - Jakub Binkowski; Albert Sawczyn; Denis Janiak; Piotr Bielak; Tomasz Kajdanowicz (ICCS (1), 2023)

RAFEN - Regularized Alignment Framework for Embeddings of Nodes. - Kamil Tagowski; Piotr Bielak; Jakub Binkowski; Tomasz Kajdanowicz (ICCS (1), 2023)

Unveiling the Potential of Probabilistic Embeddings in Self-Supervised Learning. - Denis Janiak; Jakub Binkowski; Piotr Bielak; Tomasz Kajdanowicz (CoRR, 2023)

A deeper look at Graph Embedding RetroFitting. - Piotr Bielak; Jakub Binkowski; Albert Sawczyn; Katsiaryna Viarenich; Daria Puchalska; Tomasz Kajdanowicz (J. Comput. Sci., 2023)

Empowering Small-Scale Knowledge Graphs: A Strategy of Leveraging General-Purpose Knowledge Graphs for Enriched Embeddings. - Albert Sawczyn; Jakub Binkowski; Piotr Bielak; Tomasz Kajdanowicz (LREC/COLING, 2024)

Representation Learning in Multiplex Graphs: Where and How to Fuse Information? - Piotr Bielak; Tomasz Kajdanowicz (ICCS (6), 2024)

Enhancing Out-of-Distribution Detection Through Stochastic Embeddings in Self-supervised Learning. - Denis Janiak; Jakub Binkowski; Piotr Bielak; Tomasz Kajdanowicz (ICCS (7), 2024)

Towards Weight-Space Interpretation of Low-Rank Adapters for Diffusion Models. - Jacek Duszenko; Piotr Bielak (ICCS (1), 2025)

Identifying Super Spreaders in Multilayer Networks. - Michal Czuba; Mateusz Stolarski; Adam Piróg; Piotr Bielak; Piotr Bródka (CoRR, 2025)